• Industry Promotion Research
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• v.8 no.4
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• pp.163-176
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• 2023

Through a literature review, this study examined the concept of slow learners and the lifelong learning characteristics of slow learners, and sought ways to achieve successful lifelong learning by utilizing grit and growth mindset among non-cognitive characteristics. Slow learners were experiencing difficulties in cognitive, academic, linguistic, social and emotional, and behavioral characteristics. For successful lifelong learning of slow learners, it was necessary to set long-term goals rather than short-term goals and to maintain effort and consistency of interest to achieve the goals. In addition, it was confirmed that in order to achieve long-term goals, it is necessary to believe that change can be achieved through effort and learning. In other words, the need for learning using grit and growth mindset was confirmed. Based on these previous research results, it was presented as a lifelong learning strategy for slow learners that applied grit and growth mindset, which are non-cognitive characteristics, rather than cognitive characteristics such as intelligence.

• Journal of the Korean Home Economics Association
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• v.48 no.2
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• pp.51-62
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• 2010

The primary purpose of this study was to employ an ecological model to analyze relative magnitudes of significant predictors affecting school life satisfaction in Korea Science Academy. The instruments used for this study were school life satisfaction Scale, Self-Efficacy Scale, Relationship Skill Scale, Internal Control Scale, Emotional Intelligence Scale, and FACE IV Scale. Data were collected by purposive sampling of 180 students of the Korea Science Academy in Busan, Korea. The data were analyzed by frequency, percentile, mean, standard deviation, Cronbach' ${\alpha}$, Pearson's productive correlation, hierarchical regression and stepwise regression, using SPSS 15.0+WIN program package. The results were as follows: 1. The level of school life satisfaction in Korea Science Academy was found to be high(Mean = 4.24, SD = 0.57). 2. Model IV was the most powerful. It explained 49.7% of the school life satisfaction. 3. Relationship with friends(${\beta}$ = .443), with teachers(${\beta}$ = .273), and self-efficacy(${\beta}$ = .201) were significant factors in explaining the school life satisfaction. The three variables explained 49.9% of school life satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.360-372
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• 2017

Cultural arts education helps in the holistic development of children and enhances their language skills and creative thinking. This type of education not only fosters emotional intelligence, but has also been proven to play a positive role in helping children understand different cultures. Based on these findings, in recent times, interest in cultural arts education has been focused on the importance of experiencing art in childhood and the development of artistic ability. A high standard of cultural arts education is desirable, in which regular classes are held based on the close cooperation of teachers, with extensive knowledge and sense of the cultural arts, and cultural arts experts. Therefore, it is necessary to include extensive cultural arts education in the training of early childhood educators, considering the importance of early childhood cultural arts education. This study suggested ways to improve the academic curriculum and develop plans to enhance the expertise of early childhood teachers in the field of cultural arts by analyzing the academic curriculum of early childhood education courses in 4-year universities in the metropolitan area.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.267-277
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• 2020

The purpose of this study is to analyze the needs of experts in childhood education field on what is the primary core competency of the beginning childhood teachers to cope with the future society. For this, the survey was conducted for 252 of teachers in charge, assistant directors, and directors who are currently working at the daycare centers and kindergartens in Busan and Gyeongsangnamdo. In order to derive the requirement and priority on the core competencies required to beginning childhood teachers, 3-step analysis method of paired t-Test, Borich Needs Model Analysis, and the Locus for Focus was used. As a result, seven sub-competencies of five competencies of cooperation, communication, self-improvement and development, vocational ethics, and emotional intelligence was identified as the core competencies required by priority to the beginning childhood teachers in order to cope with the future society. These results may provide the basic data for designing the competence and field-based curriculum in the teachers' training schools for pre-service childhood teachers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4972-4980
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• 2014

This study examined the effects of teacher job stress and emotional intelligence on the turnover intent and job satisfaction. To this end, an early childhood teacher survey of 220 people using SPSS 9.0 data processing, analysis, and the independent variables were used to predict the dependent variable. Simple regression analysis and regression analysis of a follow-up examination were then performed. In the first study, the early childhood teachers' turnover intention due to job stress and job satisfaction revealed job stress to be a significant factor. The children's lack of leadership and administrative support work overload factors contributed to causes of stress. The turnover intention appeared to affect the mind. Second, early childhood teachers job satisfaction, job stress and turnover intention were affected by attempts to mediate the influence of job stress. Therefore, mediation plays a significant role. These results show that infant teacher duties affect the turnover intention and job satisfaction.

• Journal of Engineering Education Research
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• v.11 no.4
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• pp.19-33
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• 2008

The purpose of this study is to find out the effects of the use of Chatting Method(with AI Chatting robot: Chatterbot) and Computer Interest Levels on Teaching & Learning. The major findings of the study are as follows. Firstly, the chatting activities using the chatterbot method and computer Interest Levels were not effective in the academic achievement. Secondly, the chatting activities using the chatterbot method and computer Interest Levels were effective in improving the learning motivation. Thirdly, According to the result of post-feedback analysis, the benefits of chatterbot method was 'the new', 'transcends time and space', 'drill and practice learning' and was some of the drawbacks 'response fixed', lack of emotional transactions. and the proposal 'PBL' was reached(1. strength: new experience, 2. weakness: be tired, 3. proposal: PBL approach). Fourthly, the relationship between the academic achievement, learning motivation, post-feedback was no correlation. Based on these results, the study suggests that the chatterbot method was need for multiple instructional design strategy.

• The Journal of Korean Academic Society of Nursing Education
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• v.26 no.3
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• pp.213-224
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• 2020

Purpose: This study considers the variables related to self-leadership of Korean nursing students and verifies the results of precedent studies through meta-analysis. Methods: This study selected a total of 48 precedent studies regarding the investigation of the correlation between variables related to self-leadership of nursing students conducted between 2009 and 2019 and carried out a meta-analysis. Results: For the effect size of variables related to self-leadership of nursing students, individual characteristics had a medium effect size (ESr=.49) and the effect size was larger for meta-cognition (ESr=.65), emotional intelligence (ESr=.58), and self-efficacy (ESr=.54). The characteristics of nursing competency (ESr=.45) also had a medium effect size and the effect size was larger for professional self-concept (ESr=.60), social support (ESr=.58), and critical thinking (ESr=.56). This result shows that individual characteristics were highly correlated with self-leadership compared to the characteristics of nursing competency. Conclusion: This study is significant in that it verified the effect of variables related to self-leadership and presented the direction and preliminary data for a follow-up study. It is necessary to include variables considering individual characteristics in the development of an educational program for improving self-leadership in the future.

• Journal of Korean Home Economics Education Association
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• v.28 no.3
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• pp.17-32
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• 2016

This exploratory study which applied environmental scanning method to analyse a change in a future society tried to diagnose a reaction ability of our education system for the change in the future society. In addition, the study tried to explore an adequate direction for Home Economics Subject to be an mandatory subject continuously toward the change in the future society. Main changes in the future society can be expected as 1) demographic change due to low birth rate and aging society, 2) an increasing threat of a human living environment due to unexpectable natural disasters and accidents, 3) a radical progress into a ubiquitous computing environment led by AI, 4) an advent of a borderless economic society and a change for jobs, 5) a change in North Korea, and so on. Our education system which mostly concentrates on education to develop constructive intelligence by halving the society and schooling as yet, however, is diagnosed as it has a paradox that can not understand an emotional competency as a target for studying. Home Economics Subject is worth as the subject that can exactly complement a blind spot of our education system which can not respond to the future society adequately. This is because Home Economics Subject has had a characteristic as a 'Subject of Life' traditionally that has dealt with an overall 'life' of human beings, and the characteristic is favorable to develop human practical intelligence. Thus, because the 'life' is the main point of Home Economics Subject, it has the characteristic as a 'Subject of Happiness' which is the most effective method to develop a tendency to appreciate, a sense of empathy, and lots of pro-social behaviors that are important capacities to seek for happiness. As Alderfer's ERG Theory is to understand human beings' behavior based on the satisfactory of human beings' hierarchical desires, it is suggested as an adequate frame for the theory to restructure the characteristic of Home Economics Subject which develops the 'capacity to seek for happiness' by focusing the 'life', into core concept and core capacity of curriculum. A follow-up study should make a connection between ERG Theory and core concept and core capacity of curriculum to explore how the theory can be reflected on Home Economics curriculum.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.37-44
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• 2020

This study aimed to explore the relationship between Intelligent Robot Reacher(IRT)-student by examining the factors of their relationship perceived by middle school students. In doing so, we developed questionnaires based on the existing teacher-student relationship scale and conducted an online survey of 283 first graders in middle school. The collected date were analyzed using exploratory factor analyses with SPSS 23 and confirmatory factor analysis with Amos 21. The study findings identified four factors of IRT-student relationship namely "trust", "competence", "emotional exchange", and "tolerance". It is expected that the study can be used to discuss ways to enhance educationally significant interaction between students-IRT and teaching methods using intelligent robots(IRs). Also, the study will contribute to the understanding and development of various services using IRs. Based on the study finidngs, future studies should investigate the perception of various education stockholders (teachers, parets, etc) on IRT to elevate the Human-Robot Interaction in the education field.

• Education of Primary School Mathematics
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• v.26 no.4
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• pp.333-348
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• 2023

Clear analysis and diagnosis of various characteristic factors of individual students is the most important in order to realize individual customized teaching and learning, which is considered the most essential function of math artificial intelligence-based digital textbooks. In this study, analysis factors and tools for individual customized learning diagnosis and construction models for data collection and analysis were derived from mathematical AI digital textbooks. To this end, according to the Ministry of Education's recent plan to apply AI digital textbooks, the demand for AI digital textbooks in mathematics, personalized learning and prior research on data for it, and factors for learner analysis in mathematics digital platforms were reviewed. As a result of the study, the researcher summarized the factors for learning analysis as factors for learning readiness, process and performance, achievement, weakness, and propensity analysis as factors for learning duration, problem solving time, concentration, math learning habits, and emotional analysis as factors for confidence, interest, anxiety, learning motivation, value perception, and attitude analysis as factors for learning analysis. In addition, the researcher proposed noon data on the problem, learning progress rate, screen recording data on student activities, event data, eye tracking device, and self-response questionnaires as data collection tools for these factors. Finally, a data collection model was proposed that time-series these factors before, during, and after learning.